Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 2,363) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*29:11-B*15:10:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01  South African Black 0.7040142
 102  A*30:01:02-B*81:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 103  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.7040142
 104  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*03:01:01  South African Black 0.7040142
 105  A*74:01:01-B*35:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 106  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 107  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 108  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 109  A*01:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 110  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 111  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 112  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 113  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 114  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 115  A*02:01:01-B*35:02:03-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 116  A*02:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 117  A*02:01:01-B*40:02:01-C*04:01:01-DRB1*04:10:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 118  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 119  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 120  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 121  A*11:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 122  A*23:01:01-B*58:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 123  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 124  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 125  A*24:02:01-B*40:02:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 126  A*24:02:01-B*44:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 127  A*24:02:01-B*52:01:02-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 128  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 129  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 130  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 131  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 132  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 133  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 134  A*68:03:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 135  A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 136  A*03:01:01-B*35:08:01-C*04:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.6787221
 137  A*24:02:01-B*35:12:01-C*04:01:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.6787221
 138  A*24:02:01-B*53:01:01-C*04:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 139  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.673223,595
 140  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.67021,510
 141  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*04:02:01-DQA1*05:05:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 142  A*02:01:01-B*35:17:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 143  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Nicaragua Mestizo (G) 0.6452155
 144  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:03  Nicaragua Mestizo (G) 0.6452155
 145  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 146  A*31:01:02-B*35:20:01-C*04:01:01-DRB1*14:02  Nicaragua Mestizo (G) 0.6452155
 147  A*34:02:01-B*53:01:01-C*04:01:01-DRB1*15:03  Nicaragua Mestizo (G) 0.6452155
 148  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 149  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 150  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 151  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 152  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 153  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 154  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 155  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 156  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*15:03:01-DQB1*04:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 157  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*126:01:01  Brazil Rio de Janeiro Parda 0.5882170
 158  A*02:01:01-B*39:06:02-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 159  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 160  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 161  A*02:02:01-B*51:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 162  A*02:05:01-B*15:10:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 163  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*15:06:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 164  A*03:01:01-B*58:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 165  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 166  A*23:01:01-B*50:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 167  A*23:17:01-B*14:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 168  A*24:02:01-B*07:02:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 169  A*29:02:01-B*53:01:01-C*04:01:01-DRB1*04:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 170  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 171  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 172  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:103-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 173  A*33:03:01-B*58:01:01-C*04:01:01-DRB1*11:02:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 174  A*36:01-B*44:50:01-C*04:01:01-DRB1*08:06-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 175  A*68:01:02-B*35:08:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 176  A*74:01:01-B*53:01:01-C*04:01:01-DRB1*15:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 177  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 178  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 179  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 180  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 181  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.5750174
 182  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.5620356
 183  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 184  A*24:07-C*04:01:01-DRB1*12:02:01  China Jingpo Minority 0.5480105
 185  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.547128,927
 186  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 187  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 188  A*02:11:01-B*35:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 189  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:02:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 190  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 191  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 192  A*33:03:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 193  A*02:03:01-B*35:05:01-C*04:01:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 194  A*11:01:01-B*35:05:01-C*04:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 195  B*35:05:01-C*04:01:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 196  B*35:05:01-C*04:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 197  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 198  A*02:01:01:01-B*35:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 199  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 200  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.5208192

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 101 to 200 (from 2,363) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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